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Senior Machine Learning Engineer for Support Products

2 months ago


San Francisco, California, United States SUPPORT PARENTSGISP Full time
About the Role

We are seeking a highly skilled Senior Machine Learning Engineer to join our Community Support team at SUPPORT PARENTSGISP. As a key member of our team, you will be responsible for developing and enhancing machine learning models to drive exceptional service experiences for our community of millions of guests and hosts.

Key Responsibilities:

  • Design, develop, and productionize machine learning models, including large-language-models, and pipelines at scale for both batch and real-time use cases.
  • Collaborate with machine learning infrastructure engineering teams to evolve how we build reusable and scalable AI solutions for our products.
  • Work with large-scale structured and unstructured data to build and continuously improve cutting-edge machine learning models for our products, business, and operational use cases.
  • Leverage third-party and in-house machine learning tools & infrastructure to develop reusable, highly differentiating, and high-performing machine learning systems, enable fast model development, low-latency serving, and ease of model quality upkeep.
  • Work collaboratively with cross-functional partners, including product managers, operations, and data scientists, to identify opportunities for business impact, understand and prioritize requirements for machine learning systems and data pipelines, drive engineering decisions, and quantify impact.

Requirements:

  • 5+ years of industry experience in applied machine learning, inclusive of MS or PhD in relevant fields.
  • Strong programming (Python/Java) and data engineering skills.
  • Deep understanding of machine learning best practices, algorithms, and domains, including natural language processing, personalization, and recommendation.
  • Experience with 3 or more of the following technologies: TensorFlow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (e.g., Hive).
  • Industry experience building end-to-end machine learning infrastructure and/or building and productionizing machine learning models.
  • Exposure to architectural patterns of large, high-scale software applications, including well-designed APIs, high-volume data pipelines, efficient algorithms, and models.
  • Experience with test-driven development, familiar with A/B testing, incremental delivery, and deployment.

What We Offer:

This position is US-Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where SUPPORT PARENTSGISP has a registered entity. We strive to provide a disability-inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation, please contact us.

We are committed to working with the broadest talent pool possible and believe diverse ideas foster innovation and engagement. All qualified individuals are encouraged to apply. Our job titles may span more than one career level, and the actual base pay is dependent upon many factors, including training, transferable skills, work experience, business needs, and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range: $185,000—$221,000 USD